Evidence map›Paper›PMID 42265575›Full record

ArticleBMC genomics2026

Phenotypic and genomic study of digital dermatitis in UK Holstein heifers.

Eirini Tarsani, Bingjie Li, Alkiviadis Anagnostopoulos, Ana Sato, Kaixin Bao, Amy Gillespie, Nektarios Siachos, Lara Robinson, Mike Coffey, Androniki Psifidi and 2 more

Abstract read
In one paragraph

Article in BMC genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Eirini TarsaniScotland's Rural College (SRUC), The King's Buildings, West Mains Road, Edinburgh, EH9 3JG, UK. Eirini.Tarsani@sruc.ac.uk.
Bingjie LiScotland's Rural College (SRUC), The King's Buildings, West Mains Road, Edinburgh, EH9 3JG, UK.
Alkiviadis AnagnostopoulosDepartment of Livestock and One Health, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Leahurst Campus, Neston, CH64 7TE, UK.
Ana SatoDepartment of Livestock and One Health, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Leahurst Campus, Neston, CH64 7TE, UK.
Kaixin BaoDepartment of Livestock and One Health, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Leahurst Campus, Neston, CH64 7TE, UK.
Amy GillespieDepartment of Livestock and One Health, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Leahurst Campus, Neston, CH64 7TE, UK.
Nektarios SiachosDepartment of Livestock and One Health, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Leahurst Campus, Neston, CH64 7TE, UK.
Lara RobinsonDepartment of Livestock and One Health, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Leahurst Campus, Neston, CH64 7TE, UK.
Mike CoffeyScotland's Rural College (SRUC), The King's Buildings, West Mains Road, Edinburgh, EH9 3JG, UK.
Androniki PsifidiRoyal Veterinary College, Hawkshead Lane, Hatfield, Hertfordshire, AL9 7TA, UK.
Georgios OikonomouDepartment of Livestock and One Health, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Leahurst Campus, Neston, CH64 7TE, UK.
Georgios BanosScotland's Rural College (SRUC), The King's Buildings, West Mains Road, Edinburgh, EH9 3JG, UK. georgios.banos@sruc.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigital dermatitis (DD) is a global infectious hoof disease causing lameness in cattle. The condition has been studied extensively in milking cows. The present study deployed data from repeated clinical examinations of young heifers to develop DD phenotypes reflecting the disease prevalence and progression. The newly defined traits were then subjected to single-step genome-wide association analyses to assess their genetic profile. Data were collected during four monthly clinical examinations of 921 Holstein heifers aged less than 15 months. The M-score system was used to assess hoof health, and four phenotypes were developed on each animal: two binary traits considering the presence or absence of DD within each examination (BINR) and across all examinations (BINA) and two disease progression traits (TP1 and TP2) throughout the examination period. The latter two phenotypes were derived on heifers that were healthy at first examination (n = 625). Pedigree and genome-wide genotypes were available on these animals. For each trait, the ten 1-Mb windows that explained the largest proportion of the total genetic variance were used to search for positional candidate genes. Functional enrichment analysis was carried out to determine the functional candidates.

resultsAll traits were significantly (P < 0.05) heritable with heritability estimates ranging from 0.22 for TP2 to 0.32 for BINA. Our findings revealed common genomic regions between traits distributed across eight chromosomes (7, 8, 11, 12, 13, 20, 23 and 24). Functional enrichment analysis revealed multiple candidate genes including DOCK2 and SRF that are known for involvement in immune response.

conclusionsResults provide novel insights into the genetic mechanism for DD development and progression in young dairy heifers.

Indexed as

Cattle DiseasesDigital DermatitisGenomicsAnimalsCattleFemaleGenome-Wide Association StudyGenotypePhenotypePolymorphism, Single NucleotideUnited KingdomDigital dermatitisFunctional enrichment analysisGenome-wide association studyHeifers

Identifiers

PMID42265575
PMCPMC13474542

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.